Applied Scientist Ii Worldwide Grocery Stores Technologies jobs at Amazon in United States, Boston

We are looking for a Research Scientist with strong technical skills which includes coding and natural language processing experience in dataset construction, training and evaluating models, and automatic processing of large datasets. You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. You will work closely with cross-functional teams, including product managers, language engineers, and other scientists.
Key job responsibilities
Specifically, the Research Scientist will:
• Ensure quality of speech/language/other data throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.
• Clean, analyze and select speech/language/other data to achieve goals
• Build and test models that elevate the customer experience
• Collaborate with colleagues from science, engineering and business backgrounds
• Present proposals and results in a clear manner backed by data and coupled with actionable conclusions
• Work with engineers to develop efficient data querying infrastructure for both offline and online use cases

- PhD, or Master's degree and 4+ years of quantitative field research experience
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Experience in Python, Perl, or another scripting language
- Experience with various machine learning techniques and parameters that affect their performance
- Experience analyzing both experimental and observational data sets

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities.Key job responsibilities
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Your key responsibilities will include (but not limited to) the below:- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvements

- High-School or equivalent diploma.
- 2+ years of experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale).
- Strong understanding of U.S.-based culture, society, and norms.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time.
- Comfortable with high-school level STEM
- Ability to effectively write and evaluate diverse subject matter across various domains
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.

- Bachelor’s degree in a relevant field or equivalent professional experience.
- Experience with creating complex data for LLM training and evaluation.
- 1+ year(s) of experience working with command line interfaces and basic UNIX commands.
- Familiarity with common markup languages such as HTML, XML, Markdown.
- Familiarity with common standard text formats such as JSON, CSV, RTF.
- Working knowledge of Python or another scripting language.
- Familiarity with regular expressions syntax.
- Familiarity with Large Language Models.
- Comfort in annotation work that may include sensitive content.

Key job responsibilities
Key job responsibilities
Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve resultsThink big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problemsCommunicate results and insights to both technical and non-technical audiences, including through presentations and written reports

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- PhD in Computer Science, Machine Learning, or a related field, with a focus on Gen AI and reinforcement learning
- Experience in developing and implementing algorithms and models for supervised fine-tuning and reinforcement learning through human feedback
- Programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch
- Excellent problem-solving skills, with the ability to think creatively and critically about complex problems

Key job responsibilities
We are looking for a senior network operations engineer in the satellite, antenna, and radio frequency space who will require a blend of technical expertise spanning RF engineering, satellite communications, and advanced networking technologies. Beyond technical skills, success in this role demands strong problem-solving abilities, continuous learning, and the capability to design, optimize, and troubleshoot complex satellite communication systems while ensuring regulatory compliance and performance excellence.
Act as a subject matter expert (SME) for escalated networking issues, including BGP peering, DNS failures, throughput bottlenecks, and path optimization.Develop troubleshooting playbooks, technical guides, and knowledge base articles to enhance case deflection and onboarding of new support engineers.
Mentor junior support engineers, providing case coaching, knowledge transfer, and technical escalation support.
Drive operational readiness and support planning for new network features, firmware rollouts, and regional launches.Work in a rotating shift schedule, including weekdays, and weekends, with the requirement to be available for on-call duties as needed to ensure continuous operational coverageExport Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

- Experience in technical support
- Bachelor's degree in electrical or mechanical engineering, engineering technology or equivalent, or 5+ years of professional or military experience
- 5+ years of experience in satellite communications, network operations, AWS NetDev, or RF engineering roles with focus on system troubleshooting and technical support.
- Demonstrated hands-on experience with RF fundamentals including carrier operations, link budgets, and satellite ground equipment. Must be proficient in standard network protocols and system architecture.
- Strong track record of analyzing complex technical issues and managing customer escalations through resolution. Experience documenting technical solutions and standard operating procedures.
- Proven experience using spectrum analyzers, monitoring tools, and standard test equipment for system diagnostics and optimization.
- Understanding of antenna specifications including gain, beamwidth, polarization, and radiation patterns. Hands-on experience in antenna installation, maintenance, and troubleshooting.
- Strong background in NOC operations with experience in emergency response and on-call support scenarios.

Amazon is looking for an AI Content Expert II to help with annotations, content generation, and data analysis. As part of the Data Team, you will be responsible for delivering high-quality training data to improve and expand AGI's Large Language Models' (LLMs) capabilities.Key job responsibilities
As an AI Content Expert, you will be responsible for creating training data that are complex in nature and will require you to make informed and high judgement decisions in each case. You will be working closely with scientists and engineers to review and update guidelines, identify tooling improvement opportunities, and engage in conversations regarding the quality of data. Your key responsibilities will include (but not limited to) the below:- Creating and annotating high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content
- Writing grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines
- Performing audits and quality checks of tasks completed by other specialists, if required
- Making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks
- Diving deep into issues and implementing solutions independently
- Identifying and reporting tooling bugs and suggesting improvements

- An Associate’s Degree or related work experience.
- 2+ years of experience working with written language data, including experience with annotation, and other forms of data markup.
- Strong proficiency in English. Candidate must demonstrate excellent writing, reading, and comprehension skills (C2 level in the Common European Framework CEFR scale).
- Strong understanding of U.S.-based culture, society, and norms.
- Strong research skills to gather relevant information, understand complex topics, and synthesize multiple resources; understanding of basic academic integrity, i.e. plagiarism.
- Excellent attention to details and ability to focus for a long period of time.
- Comfortable with high-school level STEM
- Ability to effectively write and evaluate diverse subject matter across various domains
- Ability to adapt writing style to suit various style guidelines and customers.
- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy.

- Bachelor’s degree in a relevant field or equivalent professional experience.
- Experience with creating complex data for LLM training and evaluation.
- 1+ year(s) of experience working with command line interfaces and basic UNIX commands.
- Familiarity with common markup languages such as HTML, XML, Markdown.
- Familiarity with common standard text formats such as JSON, CSV, RTF.
- Working knowledge of Python or another scripting language.
- Familiarity with regular expressions syntax.
- Familiarity with Large Language Models.
- Comfort in annotation work that may include sensitive content.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.Key job responsibilities-Daily building rounds to monitor and record information from electrical, mechanical, and fire/life safety equipment to ensure 24/7 reliability and availability
-Monitor Building Management Systems (BMS) and Electrical Power Management System (EPMS)
-Assist in troubleshooting of facility and rack-level events within internal Service Level Agreements (SLA)
-Perform rack installs and rack decommissioning within internal SLA
-Perform PM, troubleshooting, root cause analysis, and repair of electrical and mechanical equipment
-Technical writing to support change management program
-Monitor daily work requests and manage to resolution, and execute projects from conception to completion
-On-site support of contractors, sub-contractors and vendors, ensuring that all work performed is in accordance with established practices, procedures & local legislationPhysical Requirements:-Regularly lift and/or move up to 39 pounds independently
-Participate in group lifts for 40+ pounds
-Maintain balance and perform construction tasks while on a ladder
-Regularly walk, use hands and fingers, handle or feel, reach with hands and arms, stoop, kneel, crouch or crawl, climb stairs, twist, bend, work above shoulders, grasp, carry, push and pull objects into position
-Work in an environment requiring provided ear protectionA day in the life
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life Balance

- Technical (Military/Trade School) training or 2+ years of electrical or mechanical, HVAC, fire system experience in a mission-critical infrastructure or equivalent experience in a relevant industry (for example: electrical or mechanical)
- 2+ years’ experience with Microsoft Office products (including Excel, Word and PowerPoint)
- High school or equivalent diploma

- 4+ years of Data Center Engineering experience
- Associates or Bachelor’s Degree

Key job responsibilities
Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve resultsThink big about the arc of development of Gen AI over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problemsCommunicate results and insights to both technical and non-technical audiences, including through presentations and written reports

- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- PhD in Computer Science, Machine Learning, or a related field, with a focus on Gen AI and reinforcement learning
- Experience in developing and implementing algorithms and models for supervised fine-tuning and reinforcement learning through human feedback
- Programming skills in Python and experience with deep learning frameworks such as Tensor Flow or PyTorch
- Excellent problem-solving skills, with the ability to think creatively and critically about complex problems
- Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams
- Experience with patents or publications at top-tier peer-reviewed conferences or journals